class_docstr: A stream that generates the entire history of a stream at each time step.
  
  Parameters
  ----------
  min_periods : int, default 1
      The number of periods to wait before producing values from the aggregation
      function.
code: def has_next(self) -> bool:
      return True
  
imports: from typing import Callable, List
  import numpy
  from tensortrade.feed.core.base import Stream
  from tensortrade.feed.api.float import Float
label_desc: Use image node_id 3 for calling the Expanding obj's underlying member method code with example usage: obj.has_next() and returns: True